Your day-to-day focus:
- Incident & Problem Management: Own the RCA process for production incidents — diagnose, resolve, and put preventive measures in place so issues don't recur
- Production Monitoring & Support: Continuously monitor service health, detect anomalies early, and act before they become incidents
- Deployment Execution: Trigger and oversee release deployments through existing CI/CD pipelines; troubleshoot failed deployments and coordinate rollbacks when needed
- Environment Oversight: Keep Pre-Production and Production environments stable and aligned — not building them from scratch, but ensuring they behave as expected day to day
- Runbook & Knowledge Management: Document operational procedures, known issues, and resolution steps to build a reliable knowledge base for the team
- Cross-team Collaboration: Work shoulder-to-shoulder with development and platform teams to triage issues, clarify operational requirements, and close the feedback loop between prod and dev
Operational improvement:
Identify recurring pain points and propose automation or tooling to reduce toil
Improve observability coverage — dashboards, alerts, log queries — to catch issues faster
Contribute to service continuity initiatives and disaster recovery drills
- Proven track record of owning incidents end-to-end — from alert to RCA to prevention
- 2+ years working within an ITIL framework (incident, problem, change management)
- Experience working in Agile delivery environments alongside development teams
- Excellent English communication skills — able to explain technical issues clearly to both engineers and non-technical stakeholders
Technical Skills:
Production operations & troubleshooting:
- Proficiency with log analysis and alerting tools: Splunk, Apica, Sysdig
- Observability tooling: Prometheus, Grafana — reading dashboards, tuning alerts
- Comfortable operating services running on Kubernetes and Linux CLI (checking pod health, reading logs, triggering restarts — not cluster administration)
- Familiarity with Jenkins pipelines to execute and troubleshoot deployments
- Proficient in using distributed version control systems (GIT)
Application & data layer:
Relational databases (Oracle, DB2) — querying, interpreting execution plans, identifying data-related incidents
Working knowledge of Spring/Hibernate application behavior, Kafka message flows, XML/JSON payloads — enough to trace an issue through the stack
- Java/J2EE development background (helps enormously when reading stack traces and working with dev teams)
- IBM DataStage operational experience
- Scripting (Bash, Python) for automation of repetitive operational tasks
- Ansible for applying configuration changes in controlled operational scenarios